An Assessment of Driver Drowsiness, Distraction, and Performance in a Naturalistic Setting

Barr, Lawrence; Yang, C. Y. David; Hanowski, Richard J.; Olson, Rebecca L; John A. Volpe National Transportation Systems Center (U.S.); Virginia Polytechnic Institute and State University. Transportation Institute

doi:10.21949/1502967

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An Assessment of Driver Drowsiness, Distraction, and Performance in a Naturalistic Setting

2011-02-01
By Barr, Lawrence ; Yang, C. Y. David ; Hanowski, Richard J. ; ...

[PDF-844.71 KB]

English

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Creators:

Barr, Lawrence ; Yang, C. Y. David ; Hanowski, Richard J. ; Olson, Rebecca L

Barr, Lawrence ; Yang, C. Y. David ; Hanowski, Richard J. ; Olson, Rebecca L Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.) ; Virginia Polytechnic Institute and State University. Transportation Institute

John A. Volpe National Transportation Systems Center (U.S.) ; Virginia Polytechnic Institute and State University. Transportation Institute Less -
Corporate Contributors:

United States. Department of Transportation. Federal Motor Carrier Safety Administration
Subject/TRT Terms:

[+]

Commercial Drivers Commercial Motor Vehicle Computer Models Data Mining Distraction Driver Drowsiness Fatigue Fatigue (Physiological Condition) Local/Short Haul Truck Operations Naturalistic Driving Performance Statistical Models Truck Drivers
Publication/ Report Number:

DOT-VNTSC-FMCSA-04-01;FMCSA-RRR-11-010
DOI:

https://doi.org/10.21949/1502967
Resource Type:

Research Paper
OCLC Number:

705380488
Edition:

Final Report; November 2002-February 2004
Contracting Officer:

Robert J. Carroll
Corporate Publisher:

United States. Department of Transportation. Federal Motor Carrier Safety Administration
NTL Classification:

NTL-SAFETY AND SECURITY-Highway Safety;NTL-SAFETY AND SECURITY-Human Factors;NTL-SAFETY AND SECURITY-SAFETY AND SECURITY;
Abstract:

This report documents the results of a study to characterize episodes of driver drowsiness and to assess the impact of drowsiness on driving performance. This data mining effort performed additional analyses on the data collected in an earlier FMCSA study of the effects of fatigue on drivers in local/short haul operations. The primary objectives of the study were to investigate drowsiness as a naturally occurring phenomenon by identifying and characterizing episodes of drowsiness that occurred during every period of driving and to determine the operational or driving-environment factors associated with drowsy driving. A total of 2,745 drowsy events were identified in approximately 900 total hours of naturalistic driving video data. Higher levels of drowsiness were found to be associated with younger and less experienced drivers. In addition, a strong and consistent relationship was found between drowsiness and time of day. Drowsy driving events were twice as likely to occur between 6 a.m. and 9 a.m., as compared to baseline, or non-drowsy driving, and approximately 30 percent of all observed instances of drowsiness occurred within the first hour of the work shift. Some interesting insights about the relationship between driver fatigue or drowsiness and driver distraction and inattention are provided. This study presents an analytical framework for quantitatively assessing driver fatigue and drowsiness as a function of driver characteristics and the driving environment.
Format:

PDF
Funding:

SA-1J/AB136
Collection(s):

Federal Motor Carrier Safety Administration Volpe Center
Main Document Checksum:

[+]

urn:sha256:16657760b036527fe46ba5720877a981f39e73b8a26f9410d8beea2406b34522
Download URL:

https://rosap.ntl.bts.gov/view/dot/6466/dot_6466_DS1.pdf
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An Assessment of Driver Drowsiness, Distraction, and Performance in a Naturalistic Setting

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